Senior Data Engineer

<p>We are a fast-growing Series A startup building cutting-edge technology to revolutionize cloud development processes and support highly efficient dev&amp;test feedback loops. We’ve closed our last $25mil round in Q4 2024, led by Notable Capital, CRV and Heavybit.</p><p>At its core, LocalStack provides a high-fidelity emulator and local cloud development platform. Imagine developing cloud applications and data pipelines entirely on your local machine within a lightweight cloud sandbox, running in Docker!</p><p>Our <strong>mission</strong> is to empower developers to rapidly build and test their cloud applications, allowing for a more enjoyable dev experience, and saving valuable time and resources.</p><p>LocalStack has a large and active open-source community (57k+ stars on GitHub) with over 100k active users worldwide and 290M+ downloads to date. Our customer base ranges from SMBs to Global Fortune 500 companies.</p><p>We are sustainably growing our globally distributed team across sectors</p><p>LocalStack is headquartered in Zurich/Switzerland 🇨🇭, with a main engineering office in Vienna/Austria 🇦🇹 and remote team members from 🇺🇸the US, 🇫🇷FR, 🇬🇧UK, 🇨🇦CA, 🇪🇸ES, and many more countries.</p><p>👉Check our our <a href="https://localstack.notion.site/candidate-handbook-x-localstack" rel="nofollow noreferrer noopener">Notion Candidate Handbook</a> and our <a href="https://github.com/localstack/localstack" rel="nofollow noreferrer noopener">GitHub</a>!<br/><br/>This is the right opportunity for an already established Sr Data Engineer to redefine and optimize data processes at LocalStack.</p><p><strong>Requirements</strong></p><h3></h3><p>✅<strong>What you will be working on/responsible for</strong></p><p></p><ul> <li>Maintain, monitor, and optimize data ingestion pipelines for our current data platform.</li> <li>Lead the development of our future data platform based on evolving business needs.</li> <li>Shape the data team roadmap and contribute to long-term strategic planning.</li> <li>Take full ownership of data ingestion from external sources, ensuring smooth functionality.</li> <li>Design and implement a robust data modelling and data lake solution architecture.</li> <li>Provide technical leadership and mentorship to the data engineering team.</li> <li>Collaborate with engineering teams to define and refine ingestion pipeline requirements.</li> <li>Work with stakeholders to gather business questions and data needs.</li> </ul><p></p><h3>Required Skills &amp; Experience</h3><p>✅<strong>Experience we expect you to bring to the role</strong></p><p></p><ul> <li>Ability and experience working with non technical stakeholders to gather requirements</li> <li>Ability to define technical initiatives required to satisfy business requirements</li> <li>Excellent knowledge of Python</li> <li>Experience in designing real time data ingestion solutions with massive volumes of data</li> <li>(preferred) Experience with AWS services commonly used in Data Engineering (like S3, ECS, Glue, EMR)</li> <li>Experience with relational databases and data warehouses, data orchestration and ingestion tools, SQL, and BI tools</li> <li>(preferred) Experience in working remotely/ in async settings</li> <li>Experience owning initiatives at the IC level</li> <li>Experience Providing guidance to junior engineers</li> </ul><p><strong>Benefits</strong></p><p></p><ul> <li>Fully remote </li> <li>Competitive salary </li> <li>Opportunities for professional development and training.</li> <li>Dynamic and collaborative work environment.</li> <li>Flexible work arrangements.</li> </ul><p></p><p>We'd love to hear from you! Join us in shaping the future of cloud development at LocalStack.</p><p>To apply, follow the LI application process or apply on our <a href="https://apply.workable.com/localstack/" rel="nofollow noreferrer noopener" target="_blank">career page</a>. Make sure to include a short motivation outlining why you are the perfect candidate for this role. </p><p>If your profile looks like a good match we will be in touch to organize further steps within 2 weeks.</p><p>Please note, that due to a high volume of candidates, we cannot offer personalized feedback to each candidate.</p>